As higher education diversifies its delivery modes, our ability to use the predictive and analytical power of educational data mining (EDM) to understand students' learning experiences is a critical step forward. The adoption of EDM by higher education as an analytical and decision making tool is offering new opportunities to exploit the untapped…

This study proposes and verifies the performance of an analysis tool for visualizing online interactions. A review of the most widely used methods for analyzing online interactions, including quantitative analysis, content analysis, and social network analysis methods, indicates these analysis methods have some limitations resulting from their…

With the increase in available educational data, it is expected that Learning Analytics will become a powerful means to inform and support learners, teachers and their institutions in better understanding and predicting personal learning needs and performance. However, the processes and requirements behind the beneficial application of Learning…

We propose that the design and implementation of effective "Social Learning Analytics (SLA)" present significant challenges and opportunities for both research and enterprise, in three important respects. The first is that the learning landscape is extraordinarily turbulent at present, in no small part due to technological drivers.…

Learning Analytics can provide powerful tools for teachers in order to support them in the iterative process of improving the effectiveness of their courses and to collaterally enhance their students' performance. In this paper, we present the theoretical background, design, implementation, and evaluation details of eLAT, a Learning Analytics…

This study investigated an innovative approach of program evaluation through analyses of student learning logs, demographic data, and end-of-course evaluation surveys in an online K-12 supplemental program. The results support the development of a program evaluation model for decision making on teaching and learning at the K-12 level. A case study…

Learning analytics offers higher education valuable insights that can inform strategic decision-making regarding resource allocation for educational excellence. Research demonstrates that learning management systems (LMSs) can increase student sense of community, support learning communities and enhance student engagement and success, and LMSs…

Reviews hardware (microfilm, videodiscs, computers) which can process and retrieve large amounts of educational information. Identifies ways in which computer-based techniques can be used for course management, direct learning, and research. (Author/DC)

Discusses the differences between computer-assisted and computer-managed instruction (CMI), identifies the central themes running through CMI, presents a general definition of CMI, gives a functional overview of CMI, and develops definitions pertaining to CMI functions and systems. (Author/JL)

Discusses the use of computers for nine different tasks in biological education: information retrieval, data accumulation, data analysis, simulation and systems analysis, decision making, experimental control, course review, computer-managed instruction, and word processing. (PEB)

Future impacts of microcomputing on political science are discussed. Scenarios dealing with networking, data access, field research, course management, and simulations and artificial intelligence are described. (RM)